PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-05-01 10:22:59.276210+00:00 (UTC)
In US/Central Time, this is 2024-05-01 05:22:59.276210-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/b1a2d87358f02f6e61c41754c6ed3d73f2c167e51f52bb9ffda85ea2450f7383.png
We are just generating a random time serie here.
../../_images/18bcfad6b6a3c261db414c8d3821fb47bc1202491d45a04b71824ef7a5349066.png
../../_images/67a53985740ff77903a09e9fb5fd86be95b60248efec9c3975c9736350b218e9.png